Add toolchain from agentic system here

toolchain/spec/generate.py

@@ -0,0 +1,54 @@
+from datetime import datetime
+
+import yaml
+
+from pyopenapi import Info, Options, Server, Specification
+
+from models.llama3.datatypes import *  # noqa: F403
+from toolchain.dataset.api import *  # noqa: F403
+from toolchain.evaluations.api import *  # noqa: F403
+from toolchain.inference.api import *  # noqa: F403
+from toolchain.memory.api import *  # noqa: F403
+from toolchain.post_training.api import *  # noqa: F403
+from toolchain.reward_scoring.api import *  # noqa: F403
+from toolchain.synthetic_data_generation.api import *  # noqa: F403
+from agentic_system.api import *  # noqa: F403
+
+
+class LlamaStackEndpoints(
+    ModelInference,
+    AgenticSystem,
+    RewardScoring,
+    SyntheticDataGeneration,
+    Datasets,
+    PostTraining,
+    MemoryBanks,
+    Evaluations,
+): ...
+
+
+if __name__ == "__main__":
+    now = str(datetime.now())
+    print(
+        "Converting the spec to YAML (openapi.yaml) and HTML (openapi.html) at " + now
+    )
+    spec = Specification(
+        LlamaStackEndpoints,
+        Options(
+            server=Server(url="http://any-hosted-llama-stack.com"),
+            info=Info(
+                title="[DRAFT] Llama Stack Specification",
+                version="0.0.1",
+                description="""This is the specification of the llama stack that provides
+                a set of endpoints and their corresponding interfaces that are tailored to
+                best leverage Llama Models. The specification is still in draft and subject to change.
+                Generated at """
+                + now,
+            ),
+        ),
+    )
+    with open("openapi.yaml", "w", encoding="utf-8") as fp:
+        yaml.dump(spec.get_json(), fp, allow_unicode=True)
+
+    with open("openapi.html", "w") as fp:
+        spec.write_html(fp, pretty_print=True)